VikNGS: a C++ variant integration kit for next generation sequencing association analysis

Bioinformatics. 2020 Feb 15;36(4):1283-1285. doi: 10.1093/bioinformatics/btz716.

Abstract

Summary: Integration of next generation sequencing data (NGS) across different research studies can improve the power of genetic association testing by increasing sample size and can obviate the need for sequencing controls. If differential genotype uncertainty across studies is not accounted for, combining datasets can produce spurious association results. We developed the Variant Integration Kit for NGS (VikNGS), a fast cross-platform software package, to enable aggregation of several datasets for rare and common variant genetic association analysis of quantitative and binary traits with covariate adjustment. VikNGS also includes a graphical user interface, power simulation functionality and data visualization tools.

Availability and implementation: The VikNGS package can be downloaded at http://www.tcag.ca/tools/index.html.

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Data Visualization
  • Genotype
  • High-Throughput Nucleotide Sequencing*
  • Phenotype
  • Software*